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检索条件"任意字段=IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops"
12859 条 记 录,以下是321-330 订阅
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Two-stage Network For Single Image Super-Resolution
Two-stage Network For Single Image Super-Resolution
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Han, Yuzhuo Du, Xiaobiao Yang, Zhi Dalian Univ Technol Dalian Peoples R China Jilin Univ Zhuhai Coll Zhuhai Peoples R China Dibaocheng Shanghai Med Imaging Technol Co Ltd Shanghai Peoples R China
The task of single-image super-resolution (SISR) is a highly inverse problem because it is very challenging to reconstruct rich details from blurred images. Most previous super-resolution (SR) methods based on the con... 详细信息
来源: 评论
Traffic Video Event Retrieval via Text Query using Vehicle Appearance and Motion Attributes
Traffic Video Event Retrieval via Text Query using Vehicle A...
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Tien-Phat Nguyen Ba-Thinh Tran-Le Xuan-Dang Thai Nguyen, Tam, V Do, Minh N. Minh-Triet Tran Univ Sci Ho Chi Minh City Vietnam Vietnam Natl Univ Ho Chi Minh City Vietnam John von Neumann Inst Ho Chi Minh City Vietnam Univ Dayton Dayton OH 45469 USA Univ Illinois Urbana IL USA
Traffic event retrieval is one of the important tasks for intelligent traffic system management. To find accurate candidate events in traffic videos corresponding to a specific text query, it is necessary to understan... 详细信息
来源: 评论
A stroke of genius: Predicting the next move in badminton
A stroke of genius: Predicting the next move in badminton
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Ibh, Magnus Grasshof, Stella Hansen, Dan Witzner IT Univ Copenhagen Machine Learning Grp Copenhagen Denmark
This paper presents, RallyTemPose, a transformer encoder-decoder model for predicting future badminton strokes based on previous rally actions. The model uses court position, skeleton poses, and player-specific embedd... 详细信息
来源: 评论
S2F2: Single-Stage Flow Forecasting for Future Multiple Trajectories Prediction
S2F2: Single-Stage Flow Forecasting for Future Multiple Traj...
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Chen, Yu-Wen Yang, Hsuan-Kung Chiu, Chu-Chi Lee, Chun-Yi Natl Tsing Hua Univ Dept Comp Sci Elsa Lab Hsinchu Taiwan
In this work, we present a single-stage framework, named S2F2, for forecasting multiple human trajectories from raw video images by predicting future optical flows. S2F2 differs from the previous two-stage approaches ... 详细信息
来源: 评论
The Casual Conversations v2 Dataset A diverse, large benchmark for measuring fairness and robustness in audio/vision/speech models
The Casual Conversations v2 Dataset A diverse, large benchma...
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Porgali, Bilal Albiero, Vitor Ryda, Jordan Ferrer, Cristian Canton Hazirbas, Caner Meta AI Menlo Pk CA 94025 USA
This paper introduces a new large consent-driven dataset aimed at assisting in the evaluation of algorithmic bias and robustness of computer vision and audio speech models in regards to 11 attributes that are self-pro... 详细信息
来源: 评论
Learning to Detect Phone-related Pedestrian Distracted Behaviors with Synthetic Data
Learning to Detect Phone-related Pedestrian Distracted Behav...
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Hatay, Emre Ma, Jin Sun, Huiming Fang, Jianwu Gao, Zhiqiang Yu, Hongkai Cleveland State Univ Cleveland OH 44115 USA Changan Univ Xian Peoples R China
Due to the popularity and mobility of smart phones, phone-related pedestrian distracted behaviors, e.g., Texting, Game Playing, and Phone calls, have caused many traffic fatalities and accidents. As an advanced driver... 详细信息
来源: 评论
Multi-view Multi-label Canonical Correlation Analysis for Cross-modal Matching and Retrieval
Multi-view Multi-label Canonical Correlation Analysis for Cr...
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Sanghavi, Rushil Verma, Yashaswi IIT Jodhpur Jodhpur Rajasthan India
In this paper, we address the problem of cross-modal retrieval in presence of multi-view and multi-label data. For this, we present Multi-view Multi-label Canonical Correlation Analysis (or MVMLCCA), which is a genera... 详细信息
来源: 评论
CarlaScenes: A synthetic dataset for odometry in autonomous driving
CarlaScenes: A synthetic dataset for odometry in autonomous ...
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Kloukiniotis, Andreas Papandreou, Andreas Anagnostopoulos, Christos Lalos, Aris Kapsalas, Petros Nguyen, D-, V Moustakas, Konstantinos Univ Patras Patras Greece ISI Ind Syst Inst Patras Patras Greece Panasonic Automot Langen Germany
Despite the great scientific effort to capture adequately the complex environments in which autonomous vehicles (AVs) operate there are still use-cases that even SoA methods fail to handle. Specifically in odometry pr... 详细信息
来源: 评论
Edge-enhanced Feature Distillation Network for Efficient Super-Resolution
Edge-enhanced Feature Distillation Network for Efficient Sup...
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Wang, Yan Nankai Univ Nankai Baidu Joint Lab Tianjin Peoples R China
With the recently massive development in convolution neural networks, numerous lightweight CNN-based image super-resolution methods have been proposed for practical deployments on edge devices. However, most existing ... 详细信息
来源: 评论
RIT-18: A Novel Dataset for Compositional Group Activity Understanding
RIT-18: A Novel Dataset for Compositional Group Activity Und...
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Chen, Junwen Hao, Haiting Hong, Hanbin Kong, Yu Rochester Inst Technol Golisano Coll Comp & Informat Sci Rochester NY 14623 USA
Group activity understanding is a challenging task as multiple people are involved, and their relations may vary over time. Currently, the literature of group activity is limited to group activity recognition, because... 详细信息
来源: 评论